/*
 * Encog(tm) Examples v2.4
 * http://www.heatonresearch.com/encog/
 * http://code.google.com/p/encog-java/
 * 
 * Copyright 2008-2010 by Heaton Research Inc.
 * 
 * Released under the LGPL.
 *
 * This is free software; you can redistribute it and/or modify it
 * under the terms of the GNU Lesser General Public License as
 * published by the Free Software Foundation; either version 2.1 of
 * the License, or (at your option) any later version.
 *
 * This software is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
 * Lesser General Public License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public
 * License along with this software; if not, write to the Free
 * Software Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
 * 02110-1301 USA, or see the FSF site: http://www.fsf.org.
 * 
 * Encog and Heaton Research are Trademarks of Heaton Research, Inc.
 * For information on Heaton Research trademarks, visit:
 * 
 * http://www.heatonresearch.com/copyright.html
 */

package mtamarket;

import java.io.File;

import org.encog.Encog;



/**
 * Use the saved market neural network, and now attempt to predict for today, and the
 * last 60 days and see what the results are.
 */
public class MarketPredict {
		
	public static void main(String[] args)
	{		

		for(String s : args)
			System.out.println(s);
		
		Config config = null;
		
		if(args.length > 0){
			config = new Config(args);
		}else{
			config = new Config();
		}

		MarketBuildTraining.generate(config.dataDir, config);

/*
		MarketTrain.train(dataDir, Config.DATA_FILENAME.replace(".csv", "") + ".out");
				
		MarketEvaluate.evaluate(dataDir);
*/			
				
		MarketPrune.incremental(config.dataDir, config);
		
		MarketEvaluate.evaluate(config.dataDir, config, Config.DATA_FILENAME.replace(".csv", "") + ".out");
		
		System.out.println("\n\n\n");
		
		MarketTrain.train(config, config.dataDir, Config.DATA_FILENAME.replace(".csv", "") + ".out");
		
		System.out.println("\n\n\n");
		
		MarketEvaluate.evaluate(config.dataDir, config, Config.DATA_FILENAME.replace(".csv", "") + ".out");
		
		System.exit(0);
		//for some reason the program does not terminate
		//Encog.getInstance().shutdown();
		
	}
	
}
